Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/34772
Título: High resolution melting : improvements in the genetic diagnosis of hypertrophic cardiomyopathy in a Portuguese cohort
Autor: Santos, Susana
Marques, Vanda
Pires, Marina
Silveira, Leonor
Oliveira, Helena
Lança, Vasco
Brito, Dulce
Madeira, Hugo
Esteves, J. Fonseca
Freitas, António
Carreira, Isabel M.
Gaspar, Isabel M.
Monteiro, Carolino
Fernandes, Alexandra R.
Palavras-chave: Hypertrophic cardiomyopathy
Gene-based diagnosis
High Resolution Melting
Sarcomere proteins
CSRP3 gene
Data: 2012
Editora: BMC
Citação: BMC Medical Genetics 2012 13:17
Resumo: Background: Hypertrophic Cardiomyopathy (HCM) is a complex myocardial disorder with a recognized genetic heterogeneity. The elevated number of genes and mutations involved in HCM limits a gene-based diagnosis that should be considered of most importance for basic research and clinical medicine. Methodology: In this report, we evaluated High Resolution Melting (HRM) robustness, regarding HCM genetic testing, by means of analyzing 28 HCM-associated genes, including the most frequent 4 HCM-associated sarcomere genes, as well as 24 genes with lower reported HCM-phenotype association. We analyzed 80 Portuguese individuals with clinical phenotype of HCM allowing simultaneously a better characterization of this disease in the Portuguese population. Results: HRM technology allowed us to identify 60 mutated alleles in 72 HCM patients: 49 missense mutations, 3 nonsense mutations, one 1-bp deletion, one 5-bp deletion, one in frame 3-bp deletion, one insertion/deletion, 3 splice mutations, one 5’UTR mutation in MYH7, MYBPC3, TNNT2, TNNI3, CSRP3, MYH6 and MYL2 genes. Significantly 22 are novel gene mutations. Conclusions: HRM was proven to be a technique with high sensitivity and a low false positive ratio allowing a rapid, innovative and low cost genotyping of HCM. In a short return, HRM as a gene scanning technique could be a cost-effective gene-based diagnosis for an accurate HCM genetic diagnosis and hopefully providing new insights into genotype/phenotype correlations.
Descrição: © 2012 Susana et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Peer review: yes
URI: http://hdl.handle.net/10451/34772
DOI: 10.1186/1471-2350-13-17
ISSN: 1471-2350
Versão do Editor: https://bmcmedgenet.biomedcentral.com/
Aparece nas colecções:FM-CCUL-Artigos em Revistas Internacionais

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